ELEC 531

STATISTICAL SIGNAL PROCESSING

Credit Hours: 3 · Graduate

Graduate level course in statistical signal processing. Focuses on detection and estimation theory, and the relationships between them. Concentration on discrete-time results. Performance bounds derived from signal processing and information theoretic perspectives. Introduction to data science for classification. Recommended Prerequisite(s): Knowledge of digital signal processing and random processes.

Prerequisites & course information

Short Title: STATISTICAL SIGNAL PROCESSING Department: Electrical & Computer Eng. Grade Mode: Standard Letter Course Type: Lecture Credit Hours: 3 Restrictions: Enrollment is limited to Graduate level students. Course Level: Graduate

Sources

Course catalogue ↗2026–2027